TY - JOUR

T1 - Methodology, validation & signal processing of acoustic emissions for selected lubricated tribological contacts

AU - Strablegg, Christopher

AU - Renhart, Philipp

AU - Summer, Florian

AU - Grün, Florian

N1 - Publisher Copyright: © 2022

PY - 2022/5/2

Y1 - 2022/5/2

N2 - Acoustic emission in the ultrasonic range in tribology and from friction-based events in general are an interesting field of study, because it provides information classical parameters can't. Therefore, it is very important to develop good working and unified methodologies for recording the acoustic signals. In this work two methodologies for recording acoustic emissions for sliding contacts are presented. The validation of the signals from the sensor to the digital data in the computer is shown. To gain good information it is necessary to reduce noise and disturbances in the data as much as technically feasible. Electrical insulation, shielding, cable management, filtering and blind-testing are introduced. Signal processing of the data happens via various methods, such as Root-mean-square (RMS), filtering (band-pass, filter bank), short-time-Fourier-transformation (STFT), wavelet-transformation and combined techniques. Gathered information with these methods is shown for an example of a plain sliding surface Ring-on-disc test. The RMS works good as overall running indicator, while the spectral methods give insights in the different tribological effects and changes on the surface of the sample over the course of the test. [copyright information to be updated in production process]

AB - Acoustic emission in the ultrasonic range in tribology and from friction-based events in general are an interesting field of study, because it provides information classical parameters can't. Therefore, it is very important to develop good working and unified methodologies for recording the acoustic signals. In this work two methodologies for recording acoustic emissions for sliding contacts are presented. The validation of the signals from the sensor to the digital data in the computer is shown. To gain good information it is necessary to reduce noise and disturbances in the data as much as technically feasible. Electrical insulation, shielding, cable management, filtering and blind-testing are introduced. Signal processing of the data happens via various methods, such as Root-mean-square (RMS), filtering (band-pass, filter bank), short-time-Fourier-transformation (STFT), wavelet-transformation and combined techniques. Gathered information with these methods is shown for an example of a plain sliding surface Ring-on-disc test. The RMS works good as overall running indicator, while the spectral methods give insights in the different tribological effects and changes on the surface of the sample over the course of the test. [copyright information to be updated in production process]

KW - acoustic emission

KW - tribology

KW - sliding friction

KW - signal processing

UR - http://www.scopus.com/inward/record.url?scp=85129508463&partnerID=8YFLogxK

U2 - 10.1016/j.matpr.2022.04.553

DO - 10.1016/j.matpr.2022.04.553

M3 - Article

VL - 2022

SP - 2604

EP - 2610

JO - Materials Today: Proceedings

JF - Materials Today: Proceedings

SN - 2214-7853

IS - 5

T2 - 37th Danubia Adria Symposium

Y2 - 21 September 2021 through 24 September 2021

ER -